| /third_party/mindspore/tests/ut/cpp/python_input/gtest_input/pre_activate/ |
| D | bn_split.py | 53 def before(x, scale, b, mean, variance): argument
59 def after(x, scale, b, mean, variance): argument
83 def before(x, scale, b, mean, variance): argument
89 def after(x, scale, b, mean, variance): argument
106 def before(x, scale, b, mean, variance): argument
112 def after(x, scale, b, mean, variance): argument
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| /third_party/boost/boost/accumulators/statistics/ |
| D | variance.hpp | 124 ar & variance; in serialize() local
128 result_type variance; member
147 struct variance struct
152 typedef accumulators::impl::variance_impl<mpl::_1, mean, sample> impl;
163 extractor<tag::variance> const variance = {}; variable
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| D | error_of_mean.hpp | 40 extractor<Variance> const variance = {}; in result() local
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| /third_party/mindspore/mindspore/ops/_op_impl/_custom_op/ |
| D | batchnorm_fold.py | 60 def _batchnorm_fold_compute(x_input, x_sum, x_square_sum, mean, variance, momentum, epsilon): argument
100 def batchnorm_fold(x, x_sum, x_square_sum, mean, variance, argument
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| /third_party/boost/boost/histogram/accumulators/ |
| D | weighted_sum.hpp | 36 weighted_sum(const_reference value, const_reference variance) noexcept in weighted_sum()
79 const_reference variance() const noexcept { return sum_of_weights_squared_; } in variance() function in boost::histogram::accumulators::weighted_sum
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| D | weighted_mean.hpp | 44 const_reference variance) in weighted_mean()
107 value_type variance() const { in variance() function in boost::histogram::accumulators::weighted_mean
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| D | mean.hpp | 40 mean(const_reference n, const_reference mean, const_reference variance) noexcept in mean()
94 value_type variance() const noexcept { return sum_of_deltas_squared_ / (sum_ - 1); } in variance() function in boost::histogram::accumulators::mean
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| /third_party/skia/third_party/externals/abseil-cpp/absl/random/internal/ |
| D | distribution_test_util.h | 40 double variance = 0.0; member
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| D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local
172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
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| /third_party/abseil-cpp/absl/random/internal/ |
| D | distribution_test_util.h | 40 double variance = 0.0; member
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| D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local
172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/fp32/ |
| D | batchnorm_fp32.c | 22 void BatchNormFp32(const void *input, const void *mean, const void *variance, const BatchNormParame… in BatchNormFp32()
43 … const void *variance, const BatchNormParameter *param, int task_id, void *output) { in FusedBatchNormFp32()
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| /third_party/mindspore/mindspore/ccsrc/backend/kernel_compiler/cpu/nnacl/fp16/ |
| D | batchnorm_fp16.c | 20 void BatchNormFp16(const float16_t *input, const void *mean, const void *variance, const BatchNormP… in BatchNormFp16()
40 … const void *variance, const BatchNormParameter *param, int task_id, void *output) { in FusedBatchNormFp16()
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| /third_party/ffmpeg/libavutil/ |
| D | lls.h | 41 double variance[MAX_VARS]; member
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| /third_party/boost/libs/math/example/ |
| D | inverse_chi_squared_find_df_example.cpp | 48 double variance = 1.; // true variance in main() local
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| /third_party/mindspore/mindspore/lite/micro/coder/opcoders/nnacl/int8/ |
| D | batchnorm_int8_coder.cc | 72 Tensor *variance = input_tensors_.at(2); in InitConstTensor() local
114 Tensor *variance = input_tensors_.at(4); in InitFusedConstTensor() local
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| /third_party/boost/libs/compute/test/ |
| D | test_transform_reduce.cpp | 94 float variance = sum / vector.size(); in BOOST_AUTO_TEST_CASE() local
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| /third_party/boost/libs/math/dot_net_example/boost_math/ |
| D | boost_math.h | 82 virtual double variance()const in variance() function
187 double variance() in variance() function
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| /third_party/boost/boost/math/quadrature/ |
| D | naive_monte_carlo.hpp | 210 Real variance() const in variance() function in boost::math::quadrature::naive_monte_carlo
312 Real variance = 0; in m_integrate() local
345 Real variance = 0; in m_integrate() local
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| /third_party/mindspore/tests/st/ops/gpu/ |
| D | test_batchnorm_fold_op.py | 31 def __init__(self, mean, variance): argument
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| /third_party/boost/boost/math/distributions/ |
| D | beta.hpp | 135 …inline bool check_variance(const char* function, const RealType& variance, RealType* result, const… in check_variance()
187 RealType variance) // Expected value of variance. in find_alpha()
205 RealType variance) // Expected value of variance. in find_beta()
296 inline RealType variance(const beta_distribution<RealType, Policy>& dist) in variance() function
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| /third_party/boost/boost/math/tools/ |
| D | stats.hpp | 45 T variance()const in variance() function in boost::math::tools::stats
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| /third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/int8/ |
| D | batchnorm_int8.cc | 53 auto variance = in_tensors_.at(kNumInput2); in InitConstTensor() local
105 auto variance = in_tensors_.at(kNumInput4); in InitFusedConstTensor() local
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| /third_party/ffmpeg/libavutil/x86/ |
| D | lls.asm | 35 .variance: resq MAX_VARS label
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| /third_party/mindspore/mindspore/lite/src/runtime/kernel/arm/fp32/ |
| D | fused_batchnorm_fp32.cc | 50 auto variance = in_tensors_.at(FIFTH_INPUT); in InitConstTensor() local
|